High-Frequency Radar Target Detection with Maximum Likelihood Constant False Alarm Rate Method
High-Frequency Radar Target Detection Using Maximum Likelihood CFAR Approach with Weibull Distribution Modeling and Implementation Techniques
MATLAB Code Implementation for Weibull-Distributed Sea Clutter Simulation
Function: This program simulates Weibull-distributed sea clutter for Chapter 4 of a research paper. Reference: Luo Junhui. "Application of MATLAB 7.0 in Digital Signal Processing". Electronic Industry Press, p174-176. Input parameters: Signal-to-Interference-plus-Noise Ratio (SINR), sampling frequency, scale parameter, and shape parameter. Output: Time-domain waveform and probability density plots of sea clutter. The implementation utilizes MATLAB's statistical functions for Weibull distribution generation and includes custom visualization code for analytical results.
Sea Clutter Analysis and Weibull Distribution Modeling
Sea clutter analysis; Weibull distribution modeling; coherent wave processing; correlated Gaussian random sequences; zero-memory nonlinear transformation; MATLAB implementation with statistical modeling and signal processing techniques